A cognitive vision approach to early pest detection in greenhouse crops
- 作者：Paul Boissard ; Vincent Martin ; Sabine Moisan
- 关键词：IPM ; Greenhouse crops ; Pest early detection ; Cognitive vision ; Knowledge-based system ; Machine learning
- 刊名：Computers and Electronics in Agriculture
- 出版年：2008
- 期刊代码：27_01681699
- 类别：abs
- 出版时间：July 2008
- 卷：62
- 期：2
- 页码：81-93
- 文件大小：1389 K
摘要
Early disease detection is a major challenge in horticulture. Integrated Pest Management (IPM) combines prophylactic, biological and physical methods to fight bioagressors of crops while minimizing the use of pesticides. This approach is particularly promising in the context of ornamental crops in greenhouses because of the high level of control needed in such agrosystems. However, IPM requires frequent and precise observations of plants (mainly leaves), which are not compatible with production constraints.